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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal processing algorithms. Job description The PhD research will focus
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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science We are looking for two highly motivated individuals to pursue a Ph.D. in algorithms
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/or cultivation. PhD in Environmental Engineering and/or in sustainability issues related to cultivation. In-depth understanding of how advanced technological solutions (e.g., sensors, agrivoltaic
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, and numerical ship analysis. The goal is to develop a digital twin—a virtual replica of a ship’s physical systems—that combines real-world sensor data with advanced numerical models of hull, engine, and
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performance through the integration of AI, big data analysis, and numerical ship analysis. The goal is to develop a digital twin—a virtual replica of a ship’s physical systems—that combines real-world sensor
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sensors and electrochemical actuators, along with the requisite testing and characterization. You will further collaborate closely with other members of the multidisciplinary team on the relevant Organ